Python Developer

🏢 Summary: Remote backend engineering role focused on building secure, scalable backend services and APIs using Python and Java within a cloud-native, security-driven environment. The position involves developing microservices, managing Kubernetes-based deployments, and integrating with AWS and Splunk for security analytics and monitoring. The engineer will work closely with security and frontend teams in an Agile setup. 🗂️ Requirements: Minimum 3 years of backend engineering experience, Proficiency in Python 3, Proficiency in Java, Experience with RESTful APIs, Experience with microservices architectures, Hands-on experience with AWS (DynamoDB, IAM, Lambda, API Gateway), Strong knowledge of Redis and high-availability configurations, Experience with Docker and Docker Compose, Practical experience with Kubernetes, Experience with Helm, Experience with Splunk Enterprise data ingestion and analytics, Knowledge of HTTP Event Collector configuration, Experience with authentication and IAM, Experience integrating with Identity Providers, Bachelor’s degree in Computer Science, Engineering or equivalent experience 📃 Skills: Python, Java, REST, Microservices, AWS, DynamoDB, IAM, Lambda, APIGateway, Redis, Docker, Kubernetes, Helm, Splunk, SAML, SSO, HTTP, Webhooks, Protobuf, WebSockets 🏢 Description: Location: 100% remote Tasks Design, develop, and maintain scalable backend services and APIs Build secure, high-performance backend systems using Python 3 and Java Implement RESTful APIs and microservices architectures Implement and manage secure authentication flows using SAML 2.0 and SSO Integrate backend services with frontend components and collaborate with React developers Configure and maintain Splunk Enterprise integrations for security event monitoring Build and maintain Splunk dashboards for threat discovery and investigation Collaborate with security teams on Cisco Secure Firewall and Secure Network Analytics integrations Manage containerized deployments using Docker, Docker Compose, and Kubernetes Administer Kubernetes clusters including deployment, scaling, and Helm chart management Optimize Redis caching strategies including session management and pub/sub messaging Develop and maintain AWS DynamoDB data models and access patterns Configure and manage AWS IAM roles and security policies Implement serverless solutions using AWS Lambda and API Gateway Contribute to endpoint security analytics pipelines using Cisco AnyConnect NVM and CESA Configure NVM Collector and Splunk Add-Ons for endpoint analytics Participate in code reviews, architectural discussions, and technical documentation Work in an Agile/Scrum development environment Requirements At least 3 years of backend engineering experience Proficiency in Python 3 and Java Experience with RESTful APIs and microservices architectures Hands-on experience with AWS including DynamoDB, IAM, Lambda, and API Gateway Strong knowledge of Redis including high-availability cluster configurations Experience with Docker and Docker Compose for containerized development Practical experience with Kubernetes and Helm Experience with Splunk Enterprise data ingestion and analytics Knowledge of HTTP Event Collector configuration and webhook integrations Hands-on experience with security topics (IAM, auth) is highly desirable Experience integrating with Identity Providers and Active Directory attribute mapping Experience with Protobuf and WebSockets is an advantage Experience with Duo Network Gateway and secure access to on-premises resources is a plus Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Strong problem-solving skills and ability to work in a fast-paced environment Offer Multisport card Private healthcare Access to an e‑learning platform Group life insurance

🏢 Summary: The role focuses on developing and maintaining Java-based backend services that integrate multiple systems and support data processing workflows in a cloud environment. It involves building APIs, optimizing databases, and collaborating on ETL/ELT pipelines and CI/CD automation. The position requires close cooperation with data engineers to ensure reliable, high-quality data integration and system performance. 🗂️ Requirements: Strong experience in Java development, Good knowledge of SQL and relational databases, Experience with REST API development and system integrations, Understanding of ETL/ELT concepts and data pipelines, Experience with cloud environments, preferably Azure, Experience with CI/CD pipelines and DevOps practices, Ability to troubleshoot data flows and integration issues 📃 Skills: Java, SQL, REST, API, Azure, ETL, ELT, CICD, DevOps, AzureSQL, DataLake, Synapse, ADF, Messaging 🏢 Description: Key Responsibilities Design, develop, and maintain backend services and applications using Java . Build and support data integration layers and APIs connecting various systems. Collaborate closely with Azure Data Factory Engineers on ETL/ELT processes and data pipelines. Integrate systems using REST APIs and other data exchange mechanisms . Work with databases and optimize queries using SQL . Support data processing workflows and ensure data consistency and quality. Participate in CI/CD processes and contribute to automation and deployment pipelines. Troubleshoot and resolve issues related to data flow and system integrations. Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders. Required Skills Strong experience in Java development . Good knowledge of SQL and relational databases . Experience working with REST APIs and system integrations . Understanding of data processing, ETL/ELT concepts , or data pipelines. Familiarity with cloud environments , preferably Microsoft Azure . Experience with CI/CD pipelines and DevOps practices . Strong problem-solving and analytical skills. Good communication skills and ability to work in a collaborative environment. Nice to Have Experience working with Azure Data Factory (ADF) or close collaboration with data teams. Familiarity with Azure services such as Azure SQL, Data Lake, or Synapse. Experience with messaging systems or event-driven architectures . Knowledge of data modeling concepts .

🏢 Summary: Oferta dla Fullstack Developera obejmuje tworzenie skalowalnych systemów i mikroserwisów z wykorzystaniem Java, Python oraz Angular/React, a także integrację rozwiązań AI i LLM. Rola obejmuje współtworzenie architektury, rozwój backendu i frontendu oraz wdrażanie nowoczesnych narzędzi AI w procesach developerskich. Praca jest w 100% zdalna z elastycznymi godzinami i udziałem w międzynarodowych projektach. 🗂️ Requirements: Minimum 2 lata doświadczenia komercyjnego, Bardzo dobra znajomość Java, Znajomość Spring, Znajomość Spring Boot, Znajomość Python, Doświadczenie z Angular, Znajomość TypeScript, Znajomość JavaScript, Znajomość HTML5, Znajomość CSS3, Doświadczenie z React, Doświadczenie z Docker, Doświadczenie z Kubernetes, Doświadczenie z OpenShift, Znajomość Maven, Znajomość npm, Znajomość Git, Znajomość Bitbucket, Umiejętność budowy mikrousług RESTful, Znajomość JSON, Znajomość XML, Język angielski na poziomie B2, Otwartość na kontakt z klientem 📃 Skills: Java, Python, Spring, SpringBoot, Angular, React, TypeScript, JavaScript, HTML5, CSS3, Docker, Kubernetes, OpenShift, Maven, npm, Git, Bitbucket, REST, JSON, XML, LLM, RAG, GenAI, AI, ML 🏢 Description: Dołącz do zespołu, który tworzy nowoczesne rozwiązania informatyczne – od pierwszych wersji MVP po rozbudowane systemy klasy Enterprise. Szukamy osoby, która lubi łączyć świat backendu i frontendu, współtworzyć architekturę rozwiązań oraz szukać najlepszych technologicznie sposobów realizacji projektów. Twój zakres obowiązków: Projektowanie i rozwój skalowalnych i wysokodostępnych rozwiązań zarówno w architekturze mikroserwisów jak również hybrydowych z wykorzystaniem AI (Backend w Java/Python, Frontend w Angular/React) Integracja systemów z modelami AI (LLM, RAG, agenci AI) przy użyciu Python i odpowiednich frameworków Analiza specyfiki rozwiązań i sugerowanie podejścia do realizacji Dbanie o jakość kodu i zgodność z obowiązującymi standardami Sprawdzanie/testowanie nowych narzędzi AI i wdrażanie ich (zarówno do kodu, jak i do procesów developerskich) Wymagania: Minimum 2 lata doświadczenia komercyjnego Bardzo dobra znajomość Java oraz Spring/Spring Boot, Python. Doświadczenie w rozwoju aplikacji frontendowych w Angular, TypeScript , JavaScript, HTML5 i CSS3, React Doświadczenie z konteneryzacją (Docker/ Kubernetes/ OpenShift) Znajomość narzędzi takich jak Maven, npm, Git i Bitbucket Biegłość w budowaniu mikrousług RESTful przy użyciu JSON i XML Zainteresowanie i nadążanie za rozwojem AI i nowymi narzędziami oraz doskonalenie własnego warsztatu Znajomość języka angielskiego na poziomie min. B2 Otwartość na kontakt z klientem Mile widziane: Doświadczenie z rozwiązaniami GenAI i modelami LLM Zrozumienie architektury modeli AI Wiedza na temat algorytmów ML (np. regresja liniowa, drzewa decyzyjne, k-means) Oferujemy: 100% pracę zdalną Elastyczne godziny pracy Niekorporacyjne podejście do pracy Długoterminowe, międzynarodowe projekty Szkolenia merytoryczne oraz budżet szkoleniowy - naszą wartością są ludzie, ich wiedza i doświadczenie, dlatego wspieramy ich rozwój finansując szkolenia Kartę Multisport, ubezpieczenie grupowe UNIQA i prywatną opiekę medyczną (LuxMed/ Medicover)

🏢 Summary: Rola dotyczy projektowania i rozwoju skalowalnych rozwiązań backendowych w oparciu o Microsoft Azure, stanowiących fundament dla enterprise’owej platformy AI (MCP Graph Broker). Obejmuje budowę API, integracji i komponentów wspierających orkiestrację AI oraz wdrożenia produkcyjne dla systemów o dużej skali. Praca koncentruje się na architekturze chmurowej, mikroserwisach i integracji z narzędziami AI/ML w środowisku enterprise. 🗂️ Requirements: Minimum 5 lat doświadczenia w budowie skalowalnych aplikacji webowych lub systemów enterprise, Bardzo dobra znajomość .NET Framework, ASP.NET MVC, Web API 2, MS SQL, Entity Framework, Doświadczenie z REST oraz OData, Znajomość usług Microsoft Azure i praktyk cloud computing, Znajomość architektury mikroserwisowej i zarządzania API, Doświadczenie z .NET / C# oraz wzorcami Clean Architecture, DDD, CQRS, Event Sourcing, Doświadczenie w projektowaniu i implementacji REST API oraz GraphQL, Znajomość baz wektorowych i wyszukiwania semantycznego (RAG), Doświadczenie z ML/AI API w środowiskach produkcyjnych, Doświadczenie w projektowaniu systemów wysokodostępnych i odpornych na duże wolumeny danych, Znajomość Cloud Design Patterns, Doświadczenie w budowie aplikacji Enterprise SaaS, Wykształcenie wyższe techniczne 📃 Skills: .NET, C#, ASP.NET, WebAPI, MS SQL, EntityFramework, REST, OData, Azure, AppServices, Functions, CosmosDB, AzureSQL, ServiceBus, AzureSearch, GraphQL, Microservices, DDD, CQRS, EventSourcing, CleanArchitecture, SaaS, RAG, MCP, AI, ML, DevOps, Agile 🏢 Description: Tworzymy cyfrowe produkty dla nowoczesnego środowiska pracy oparte na chmurze, AI i technologiach, które realnie wspierają pracowników na całym świecie. Chcesz pracować nad rozwiązaniami, w których backend, API i integracje realnie napędzają systemy AI klasy enterprise? Dołącz do nas i zobacz, co budujemy. Jako część naszego zespołu będziesz : wykorzystywać swoją wiedzę z zakresu cloud computingu, integracji systemów i rozwoju oprogramowania, projektować i rozwijać rozwiązania backendowe oparte na Microsoft Azure, które będą technologicznym fundamentem dla MCP Graph Broker — jednego z pierwszych tego typu rozwiązań AI dla środowisk enterprise w Polsce, współtworzyć skalowalne API, integracje i komponenty aplikacyjne wspierające warstwę orkiestracji AI, zarządzanie kontekstem oraz komunikację między systemami, przygotowywać rozwiązania gotowe do wdrożeń produkcyjnych — od kontrolowanych środowisk testowych po systemy obsługujące ponad 500 000 użytkowników dziennie w sektorze finansowym, handlowym i publicznym. Aplikuj, jeśli masz : minimum 5 lat komercyjnego doświadczenia w budowie skalowalnych aplikacji webowych, usług backendowych lub systemów klasy enterprise, bardzo dobrą znajomość .NET Framework, ASP.NET MVC, Web API 2, MS SQL, Entity Framework, REST oraz OData, znajomość usług Azure i dobrych praktyk pracy z chmurą, np. Azure App Services, Azure Functions, Cosmos DB, Azure Search, Azure Service Bus czy Azure SQL, dobrą znajomość architektury mikroserwisowej, zarządzania API oraz usług chmurowych wykorzystywanych w systemach enterprise, znajomość metodyk Agile, praktyk DevOps oraz nowoczesnych narzędzi wykorzystywanych w procesie tworzenia oprogramowania, znajomość i umiejętność stosowania Cloud Design Patterns, doświadczenie w budowie aplikacji klasy Enterprise SaaS , wiedzę i doświadczenie w pracy z .NET / C# oraz wzorcami projektowymi, takimi jak Clean Architecture, DDD, CQRS czy Event Sourcing, doświadczenie w projektowaniu i implementacji REST API oraz GraphQL, szczególnie w kontekście API klasy enterprise, znajomość baz wektorowych oraz technik wyszukiwania semantycznego, np. Azure AI Search, w systemach RAG / Retrieval-Augmented Generation, znajomość protokołu MCP / Model Context Protocol lub podobnych protokołów kontekstowych oraz praktyczne doświadczenie z narzędziami ML / AI API w środowiskach produkcyjnych, doświadczenie we wdrażaniu rozwiązań typu AI API Layer , doświadczenie w projektowaniu rozwiązań odpornych na duże wolumeny danych i zapewniających wysoką dostępność, doświadczenie w budowie frameworków lub platform aplikacyjnych, umiejętność analitycznego myślenia, rozwiązywania problemów, prowadzenia inicjatyw technicznych oraz jasnej komunikacji, zainteresowanie nowymi technologiami i śledzenie najnowszych trendów w obszarze chmury, AI i systemów agentowych, znajomość języka polskiego na poziomie C1+ oraz języka angielskiego na poziomie B2+, możliwość pracy w modelu hybrydowym z Białegostoku lub okolic — minimum 3 dni w tygodniu z biura i maksymalnie 2 dni pracy zdalnej), wykształcenie wyższe techniczne, najlepiej informatyczne lub pokrewne. Mile widziane : znajomość wzorców orkiestracji agentów AI, takich jak routing, zarządzanie pamięcią, wykorzystanie narzędzi czy human-in-the-loop, doświadczenie z architekturą multi-tenant, obejmującą separację kontekstu, izolację danych i polityki dostępu w środowiskach SaaS, praktyczna znajomość modeli konwersacyjnych i dialogowych, w tym fine-tuningu, RLHF oraz prompt engineeringu dla LLM, szczególnie w kontekście asystentów AI. Oferujemy: wynagrodzenie 20 000–22 000 PLN brutto miesięcznie na umowie o pracę oraz 18-miesięczną umowę z możliwością przedłużenia, pracę przy rozwoju rozproszonego systemu chmurowego klasy enterprise, w którym AI jest częścią architektury, a nie tylko dodatkową funkcją, realny wpływ na architekturę platformy używanej przez setki tysięcy pracowników, możliwość pracy z nowoczesnymi rozwiązaniami Azure, najnowszymi modelami LLM oraz narzędziami MLOps, przestrzeń do wielokierunkowego rozwoju zawodowego, certyfikacji i wymiany wiedzy, elastyczny model pracy hybrydowej, pakiet benefitów obejmujący prywatną opiekę medyczną i kartę Multisport.

🏢 Summary: Full-time remote Senior AI Engineer role focused on designing and operating production-grade GenAI solutions, including agentic workflows and RAG pipelines integrated into enterprise systems. The position emphasizes software engineering excellence, cloud-based AI services, and orchestration of LLM capabilities rather than model research. You will build reliable, secure, and observable AI services integrated with internal platforms and APIs. 🗂️ Requirements: 5+ years of professional software development experience, Strong background in designing and operating production systems, Proficiency in Python or another backend language for AI systems, Experience building and integrating RESTful APIs, Understanding of distributed systems fundamentals, Experience with API integrations and event-driven architectures, Solid SQL and database design knowledge, Experience with vector search, Hands-on experience building end-to-end LLM applications, Experience implementing RAG pipelines, Strong knowledge of Azure cloud services, Experience with unit and integration testing, Ability to build AI evaluation and regression testing frameworks 📃 Skills: Python, REST, GraphQL, SQL, Azure, RAG, LLM, LangChain, LangGraph, ASP.NET, APIs, Embeddings, VectorSearch, AzureFunctions, AzureStorage, KeyVault, AppConfiguration, ApplicationInsights 🏢 Description: Workload: full-time Work model: 100% Remote We are seeking a Senior AI Engineer who combines strong software engineering fundamentals with hands-on experience building production GenAI solutions, including agentic workflows and Retrieval-Augmented Generation (RAG). This is an engineering and orchestration role focused on integrating LLM capabilities into enterprise systems – not a traditional model-training/ML research role. 5+ years of professional software development experience (ideally 7+ years across backend/API/integration and cloud platforms). Proven ability to ship production-grade LLM applications ( RAG , tool/function calling, agent orchestration) with reliability, security, and observability. Strong ownership mindset and passion for AI engineering – curiosity, experimentation, and a drive to continuously improve the product and the team. Excellent communication and collaboration skills; ability to guide, mentor, and unblock other engineers as we build out an AI engineering capability. Main Responsibilities: Design, build, and operate agentic AI services that orchestrate tools, workflows, and integrations across cloud systems and enterprise data sources. Implement and continuously improve RAG pipelines for tax artifacts and internal knowledge, including ingestion, retrieval tuning, and evaluation. Integrate AI workflows with existing internal platforms (e.g., assistant frameworks) and back-end services through robust APIs. Define and maintain tool/function schemas and orchestration patterns; implement streaming updates, interrupts, and human-in-the-loop steps as needed. Partner with other engineers to set direction, mentor, and unblock the team — helping establish strong foundations for the AI initiative. Build in quality from day one: automated tests, evaluation checks, monitoring/telemetry, and performance optimization for network-bound workloads. Participate in Agile ceremonies (daily scrums, refinement/grooming, planning) and collaborate through peer review, pair programming, and strong documentation. Apply best practices, design principles, and security standards throughout the SDLC, with a focus on reliability and responsible AI. Key Requirements: Strong software engineering background (not a research-only data science profile): designing, building, and operating production systems. Proficiency in at least one backend language used for AI systems (Python preferred). Hands-on experience building and integrating RESTful APIs ; GraphQL experience is a plus. Strong understanding of distributed systems fundamentals : concurrency, async I/O, resiliency/retries, rate limits, caching, and performance optimization. Experience integrating with external services and internal platforms via APIs and event-driven patterns. Solid database fundamentals (SQL design, performance, migrations); experience with vector search is required, and hybrid search stores are a plus. Hands-on experience building LLM-powered applications end-to-end : prompt design, tool/function interfaces, structured outputs, and streaming user experiences. Experience with RAG systems : document ingestion pipelines, chunking/metadata, embeddings, retrieval strategies, grounding, and evaluation. Cloud services expertise : Strong knowledge of Azure cloud services used for enterprise AI solutions (e.g., Functions, Storage, Key Vault, App Configuration, Application Insights). Development practices experience : Strong background in unit and integration testing; ability to build and maintain AI evaluation harnesses (golden sets, regression tests, automated checks). Nice to Have: Direct experience with LangGraph and/or LangChain for multi-agent workflows. Familiarity with emerging agentic ecosystem concepts/protocols (e.g., MCP, A2A, ADK or similar). Experience integrating AI services into .NET (ASP.NET Core) applications or building AI microservices that serve enterprise applications. Experience with event-driven architectures (service bus, event hubs) and real-time updates/streaming to UI. Experience working with tax/enterprise document corpora and governance constraints (PII, retention, access control). Other Details: This position is designed for remote work and has a flexible duration, allowing for innovation in the AI space within an agile environment.

🏢 Summary: Full-time remote Senior AI Engineer role focused on designing and operating production-grade GenAI systems, including agentic workflows and RAG pipelines integrated into enterprise platforms. The position emphasizes backend engineering, API integrations, and orchestration of LLM capabilities in secure, scalable cloud environments rather than ML research. The role also includes mentoring engineers and establishing best practices for reliable, observable AI services. 🗂️ Requirements: 5+ years professional software development experience, Proficiency in Python, Experience building production LLM applications, Hands-on experience with RAG systems, Experience designing and integrating RESTful APIs, Strong understanding of distributed systems fundamentals, Experience with SQL databases and performance optimization, Experience with vector search, Experience integrating external services via APIs, Knowledge of Azure cloud services, Experience with unit and integration testing, Ability to build AI evaluation and testing frameworks 📃 Skills: Python, REST, GraphQL, SQL, Azure, RAG, LLM, LangChain, LangGraph, ASP.NET, APIs, Microservices, DistributedSystems, Concurrency, AsyncIO, VectorSearch, Embeddings, Caching, AzureFunctions, Storage, KeyVault, AppConfiguration, ApplicationInsights, ServiceBus, EventHubs 🏢 Description: Workload: full-time Work model: 100% Remote We are seeking a Senior AI Engineer who combines strong software engineering fundamentals with hands-on experience building production GenAI solutions, including agentic workflows and Retrieval-Augmented Generation (RAG). This is an engineering and orchestration role focused on integrating LLM capabilities into enterprise systems – not a traditional model-training/ML research role. 5+ years of professional software development experience (ideally 7+ years across backend/API/integration and cloud platforms). Proven ability to ship production-grade LLM applications ( RAG , tool/function calling, agent orchestration) with reliability, security, and observability. Strong ownership mindset and passion for AI engineering – curiosity, experimentation, and a drive to continuously improve the product and the team. Excellent communication and collaboration skills; ability to guide, mentor, and unblock other engineers as we build out an AI engineering capability. Main Responsibilities: Design, build, and operate agentic AI services that orchestrate tools, workflows, and integrations across cloud systems and enterprise data sources. Implement and continuously improve RAG pipelines for tax artifacts and internal knowledge, including ingestion, retrieval tuning, and evaluation. Integrate AI workflows with existing internal platforms (e.g., assistant frameworks) and back-end services through robust APIs. Define and maintain tool/function schemas and orchestration patterns; implement streaming updates, interrupts, and human-in-the-loop steps as needed. Partner with other engineers to set direction, mentor, and unblock the team — helping establish strong foundations for the AI initiative. Build in quality from day one: automated tests, evaluation checks, monitoring/telemetry, and performance optimization for network-bound workloads. Participate in Agile ceremonies (daily scrums, refinement/grooming, planning) and collaborate through peer review, pair programming, and strong documentation. Apply best practices, design principles, and security standards throughout the SDLC, with a focus on reliability and responsible AI. Key Requirements: Strong software engineering background (not a research-only data science profile): designing, building, and operating production systems. Proficiency in at least one backend language used for AI systems (Python preferred). Hands-on experience building and integrating RESTful APIs ; GraphQL experience is a plus. Strong understanding of distributed systems fundamentals : concurrency, async I/O, resiliency/retries, rate limits, caching, and performance optimization. Experience integrating with external services and internal platforms via APIs and event-driven patterns. Solid database fundamentals (SQL design, performance, migrations); experience with vector search is required, and hybrid search stores are a plus. Hands-on experience building LLM-powered applications end-to-end : prompt design, tool/function interfaces, structured outputs, and streaming user experiences. Experience with RAG systems : document ingestion pipelines, chunking/metadata, embeddings, retrieval strategies, grounding, and evaluation. Cloud services expertise : Strong knowledge of Azure cloud services used for enterprise AI solutions (e.g., Functions, Storage, Key Vault, App Configuration, Application Insights). Development practices experience : Strong background in unit and integration testing; ability to build and maintain AI evaluation harnesses (golden sets, regression tests, automated checks). Nice to Have: Direct experience with LangGraph and/or LangChain for multi-agent workflows. Familiarity with emerging agentic ecosystem concepts/protocols (e.g., MCP, A2A, ADK or similar). Experience integrating AI services into .NET (ASP.NET Core) applications or building AI microservices that serve enterprise applications. Experience with event-driven architectures (service bus, event hubs) and real-time updates/streaming to UI. Experience working with tax/enterprise document corpora and governance constraints (PII, retention, access control). Other Details: This position is designed for remote work and has a flexible duration, allowing for innovation in the AI space within an agile environment.

🏢 Summary: The offer is for a Full Stack .NET Developer responsible for building scalable backend services and RESTful APIs within domain-driven and event-driven architectures, as well as developing responsive frontend interfaces. The role involves working with microservices or modular monoliths, implementing asynchronous integrations, and ensuring high code quality through testing and CI/CD practices. The position requires close collaboration in an agile environment and contribution to architectural decisions. 🗂️ Requirements: Minimum 3 years of experience in similar role, Very good knowledge of ASP.NET WebAPI (.NET Core), Very good knowledge of React, Very good knowledge of TypeScript, Experience with Unit Testing, Very good knowledge of Git, Very good knowledge of SQL Server or Azure SQL, Experience with EF Core, Experience with CI/CD pipelines, Experience with containerised deployments, Experience with event-driven architecture, Good command of English 📃 Skills: C#, .NET, ASP.NET, WebAPI, React, TypeScript, SQL, SQLServer, AzureSQL, EFCore, Git, CI/CD, Docker, Microservices, REST, UnitTesting 🏢 Description: Responsibilities: Designing and implementing scalable backend services and RESTful APIs within a domain-driven and event-driven architecture context, including both modular monolith and microservices approaches Building and maintaining responsive frontend interfaces, ensuring seamless integration with backend systems Contributing to architectural decisions and participating in collaborative design sessions to align technical solutions with business requirements Writing and maintaining unit, integration, and end-to-end tests. Ensuring code quality through thorough code reviews and adherence to team standards Working with CI/CD pipelines, containerised deployments, and infrastructure as code Implementing asynchronous communication patterns and event-based integrations between services Configuring and utilising monitoring and observability tools for application diagnostics and performance analysis Collaborating within an agile team, working closely with business analysts to refine requirements, and actively participating in sprint ceremonies Requirements: At least 3 years of experience on a similar position Very good knowledge of ASP.NET WebAPI (.NET Core) Very good knowledge of React, TypeScript Very good knowledge or experience in Unit Testing and GIT Very good knowledge of SQL Server/Azure SQL, EF Core Good command of English Offer: Constant support of dedicated consultant Employee referral program

🏢 Summary: Backend engineering role focused on building scalable backend services, APIs, and internal developer platforms in a fully remote environment. The position involves improving system architecture, optimizing distributed systems, and collaborating across the full software development lifecycle. The offer includes influence on technical decisions, modern technologies, and growth opportunities within an experienced engineering team. 🗂️ Requirements: 5+ years of backend software development experience, Proficiency in PHP or experience with Java, Python, Go, Knowledge of RESTful APIs and GraphQL, Experience building scalable distributed backend systems, Experience with SQL/MySQL and database optimization, Experience with automated testing and monitoring, Knowledge of debugging production systems, Familiarity with contract-driven development, English for daily technical communication 📃 Skills: PHP, Java, Python, Go, REST, GraphQL, SQL, MySQL, React, API 🏢 Description: ✅ Your responsibilities: ・Design, develop, and maintain scalable backend services and APIs for third-party integrations. Improve platform architecture, service communication, and internal developer tooling. Collaborate with Product Managers, Designers, and Engineers throughout the entire software development lifecycle. Optimize existing systems for performance, scalability, reliability, and maintainability. Drive engineering best practices, including code quality, testing, and documentation. Participate in architecture discussions and technical decision-making. Mentor engineers through code reviews, pair programming, and knowledge sharing. Continuously improve the developer experience by building reliable internal platforms and tools. 🧠 Our requirements: 5+ years of experience in backend software development. Strong proficiency in PHP (preferred) or solid experience with Java, Python, Go , or similar backend technologies. Strong understanding of RESTful APIs , GraphQL , and API design best practices. Experience designing and building scalable, distributed backend systems. Hands-on experience with SQL/MySQL databases and database optimization. Experience with automated testing, observability, monitoring, and debugging production systems. Familiarity with contract-driven development and modern software development practices. Basic knowledge of frontend technologies such as React is a plus. Strong communication skills and the ability to collaborate across cross-functional teams. Passion for writing clean, maintainable, and high-quality code or AI automation English at a level allowing daily technical communication 🌟 What we offer: 100% remote work. Private healthcare and Multisport. Life insurance. Real influence on technical decisions and system architecture. Opportunity to build scalable backend services and developer platforms. Work with modern technologies in a collaborative engineering environment. Knowledge sharing, mentorship, and professional growth opportunities. Friendly, supportive, and experienced engineering team.

🏢 Summary: Full-stack engineering role focused on building scalable web applications using Python (FastAPI) and React.js. The position involves designing databases, developing RESTful APIs, and deploying cloud-native solutions on AWS with containerization and CI/CD practices. The role also includes developing Generative AI applications using modern AI tools and APIs. 🗂️ Requirements: Proven experience with Python and FastAPI, Ability to work with React.js on frontend development, Hands-on experience with PostgreSQL, Redis, and PGVector, Experience managing infrastructure on AWS, Proficiency with Docker and Kubernetes, Experience implementing CI/CD pipelines and automated testing, Strong understanding of RESTful API design and backend services, Experience or strong interest in Generative AI development using LangChain or OpenAI APIs 📃 Skills: Python, FastAPI, React, PostgreSQL, Redis, PGVector, AWS, Docker, Kubernetes, SQL, NoSQL, REST, CICD, LangChain, OpenAI 🏢 Description: Key Responsibilities: Backend & Frontend Development: Develop scalable web applications using Python (FastAPI) and work across the stack with React.js. Database Management: Design and optimize SQL, NoSQL, and vector databases, specifically PostgreSQL, Redis, and PGVector. Cloud & Infrastructure: Work within the AWS cloud environment and utilize Docker and Kubernetes for containerization and orchestration. API Development: Collaborate on building robust RESTful APIs and modern backend services. AI & DevOps Practices: Apply CI/CD and automated testing workflows, while building Gen AI applications using tools like LangChain and OpenAI APIs. Requirements: Technical Stack: Proven experience with Python (FastAPI) and the ability to work effectively with React.js. Database & Cloud: Hands-on experience with PostgreSQL, Redis, PGVector, and managing infrastructure on AWS. DevOps Tools: Proficiency with Docker, Kubernetes, and implementing automated testing and CI/CD pipelines. API Architecture: Strong understanding of designing and integrating RESTful APIs and backend services. Gen AI Interest: Experience or a strong interest in developing Generative AI applications using LangChain, OpenAI APIs, or similar

🏢 Summary: Development role focused on building and maintaining a modern enterprise-grade digital platform with web and mobile components using Angular and cloud-based services. The position involves designing scalable frontend architectures, integrating with REST APIs, and working in a cloud environment with strong emphasis on code quality and maintainability. Senior and Lead levels additionally contribute to architectural decisions and team mentorship. 🗂️ Requirements: Minimum 4 years of commercial experience for Regular level, Minimum 6 years of commercial experience for Senior level, Minimum 8–10 years of commercial experience for Lead level, Strong commercial experience with Angular, Very good knowledge of TypeScript, Very good knowledge of RxJS, Experience with Capacitor or similar cross-platform mobile frameworks, Experience working with REST APIs, Familiarity with cloud environments, preferably Microsoft Azure, Understanding of CI/CD processes, English language proficiency at minimum B2 level 📃 Skills: Angular, TypeScript, RxJS, Capacitor, REST, Azure, AzureOpenAI, AzureAISearch, CI/CD 🏢 Description: Tech stack: Angular TypeScript RxJS Capacitor Microsoft Azure Azure OpenAI Azure AI Search Requirements: Experience: Regular level: minimum 4 years of commercial experience Senior level: minimum 6 years of commercial experience Lead level: 8–10+ years of commercial experience Technical Skills: Strong commercial experience with Angular Very good knowledge of TypeScript and RxJS Experience with Capacitor or similar cross-platform mobile frameworks Solid understanding of modern frontend architectures and design patterns Experience working with REST APIs Familiarity with cloud environments , preferably Microsoft Azure Understanding of CI/CD processes and modern development practices Language English (minimum B2 level) Nice to have: Experienced in using AI tools in day-to-day workflow Project description: The role involves participation in the development of a modern, enterprise-grade digital platform designed to support business users through intuitive access to data, information, and digital tools. The solution is built using contemporary frontend technologies and cloud-based services, with a strong focus on scalability, performance, and maintainability. The platform includes web and mobile components, integrates with backend systems and data sources, and is developed in close cooperation with product, design, and engineering teams. The project follows modern software development standards and emphasizes clean architecture, code quality, and long-term product evolution. Main responsibilities: Design, develop, and maintain frontend applications using Angular Implement cross-platform mobile functionalities using Capacitor Integrate frontend components with RESTful APIs and backend services Ensure high standards of code quality, performance, and maintainability Apply best practices related to frontend architecture and software development Participate in code reviews and contribute to shared development standards Collaborate with product owners, UX/UI designers, and backend developers Contribute to technical and architectural decisions (Senior and Lead levels) Provide technical support and mentorship to team members (Senior and Lead levels)